| dc.contributor.author | Mengshoel, Ole Jakob | |
| dc.contributor.author | Yu, Tong | |
| dc.contributor.author | Riege, Jon | |
| dc.contributor.author | Flogard, Eirik Lund | |
| dc.date.accessioned | 2022-04-06T11:04:22Z | |
| dc.date.available | 2022-04-06T11:04:22Z | |
| dc.date.created | 2022-01-20T13:05:08Z | |
| dc.date.issued | 2021 | |
| dc.identifier.isbn | 978-1-4503-8351-6 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2990171 | |
| dc.description.abstract | There is a need to study not only accuracy but also computational cost in machine learning. Focusing on both accuracy and computational cost of feature selection, we develop and test stochastic local search (SLS) heuristics for hybrid feature selection. | en_US |
| dc.language.iso | eng | en_US |
| dc.relation.ispartof | GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume | |
| dc.title | Stochastic Local Search for Efficient Hybrid Feature Selection | en_US |
| dc.type | Chapter | en_US |
| dc.description.version | publishedVersion | en_US |
| dc.rights.holder | © 2021 Copyright held by the owner/author(s). | en_US |
| dc.source.pagenumber | 133-134 | en_US |
| dc.identifier.doi | 10.1145/3449726.3459438 | |
| dc.identifier.cristin | 1986178 | |
| cristin.ispublished | true | |
| cristin.fulltext | preprint | |
| cristin.qualitycode | 1 | |
